#搜索#适合静态网站的全文搜索引擎,使用Rust和Wasm
#算法刷题#2021年最新总结 500个常用数据结构,算法,算法导论,面试常用,大厂高级工程师整理总结
Probabilistic data structures for processing continuous, unbounded streams.
Redis for humans. 🌎🌍🌏
The FASTEST QUALITY hash function, random number generators (PRNG) and hash map.
In-memory nucleotide sequence k-mer counting, filtering, graph traversal and more
Cuckoo Filter implementation in Go, better than Bloom Filters (unmaintained)
JS implementation of probabilistic data structures: Bloom Filter (and its derived), HyperLogLog, Count-Min Sketch, Top-K and MinHash
Bloom filter for Scala, the fastest for JVM
🔬 Assemble large genomes using short reads
LUA Redis scripts for a scaling bloom filter
Cuckoo Filter go implement, better than Bloom Filter, configurable and space optimized 布谷鸟过滤器的Go实现,优于布隆过滤器,可以定制化过滤器参数,并进行了空间优化
The fastest Bloom filter in Rust. No accuracy compromises. Full concurrency support and compatible with any hasher.
A fast, simple and lightweight Bloom filter library for Python, implemented in Rust.
fastfilter: Binary fuse & xor filters for Zig (faster and smaller than bloom filters)
Very fast, high-quality hash function, discrete-incremental and streamed hashing-capable (non-cryptographic, inline C/C++) 27GB/s + PRNG